A mathematical model for predicting the development of bacterial resistance based on the relationship between the level of antimicrobial resistance and the volume of antibiotic consumption

Arepyeva, M. A.; Kolbin, A. S.; Сидоренко, С. В.; Lawson, RW; Kurylev, A. A.; Balykina, Yu. Е.; Mukhina, N; Spiridonova, Anna

doi:10.1016/j.jgar.2016.11.010

Cited by 27 publications

(15 citation statements)

References 4 publications

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“…These faulty beliefs will increase indiscriminate use of antibiotics and lead to emergence and spread of resistant bacterial strains [23,24]. Arepyeva et al [25] demonstrated that antibiotic use level significantly influences resistance level in some antibiotic-microorganism pairs. Steinke and Davey [26] found the evidence of a cause-effect relationship between levels of antibiotics consumption and resistance in community.…”

Section: Knowledge Of Participantsmentioning

confidence: 99%

Public Knowledge and Attitudes Towards Antibiotics Use and Resistance in Baghdad, Iraq: A Survey Conducted in Outpatient Department of University Teaching Hospital

Al-Yasseri¹,

Hussain²

2019

TOPHJ

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Introduction: Improper antibiotics utilization permits the emergence of resistant organisms. The World Health Organization has highlighted the role of people in preventing and controlling antibiotics resistance. Objectives: To investigate public knowledge and attitude towards antibiotics use and resistance in Baghdad, Iraq; and to identify deficiencies in these areas that need to be addressed. Methods: This was a cross-sectional study with an analytic element involving 500 participants attending outpatient department of university teaching hospital in Baghdad during the period of February through May, 2017. A questionnaire-form paper was used for data collection, including questions about sociodemographic characteristics; sources of information about antibiotics; knowledge about antibiotics indications, resistance, and side effects; and attitudes towards antibiotics self-medication. Results: People who knew antibiotics have no role in managing viral infection, coughs/colds, and pain/inflammation represented 42.4%, 20.0%, and 44.6% of study sample; respectively. Low proportions of participants realized the necessity to complete antibiotics course, 38.2%. Concerning attitude; those who were against keeping leftover antibiotics in home, taking antibiotics for cold/flu, and taking them for fever without consulting doctor were 37.2%, 42.2% and 46.4%; respectively. Higher education showed significant association with good knowledge (p<0.001) and appropriate attitude (p<0.001). The presence of family member with medical profession exhibited significant association with higher knowledge (p=0.011). Better knowledge was a predictor of better attitude (p<0.001). Conclusion: Public awareness about antibiotic resistance remains largely unrecognized in Baghdad. Many participants did not have sufficient knowledge about indications for antibiotics use and consequences of their over/misuse. Inappropriate attitude towards antibiotic self-medication was also identified largely in this study.

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Section: Knowledge Of Participantsmentioning

confidence: 99%

Public Knowledge and Attitudes Towards Antibiotics Use and Resistance in Baghdad, Iraq: A Survey Conducted in Outpatient Department of University Teaching Hospital

Al-Yasseri¹,

Hussain²

2019

TOPHJ

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“…The irrational use of antibiotics can increase selective pressure of bacterial resistance, which is one of the important factors responsible for antimicrobial resistance (AMR). Increasing evidence indicates that antimicrobial drug consumption is associated with AMR [ 8 – 11 ]. Unfortunately, most related studies involve a single hospital, and relatively few researchers have sought to analyze findings from multiple hospitals or a region.…”

Section: Introductionmentioning

confidence: 99%

Association between antibiotic consumption and the rate of carbapenem-resistant Gram-negative bacteria from China based on 153 tertiary hospitals data in 2014

Yang

Chen

Jiang

et al. 2018

Antimicrob Resist Infect Control

104

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BackgroundThis study aimed to investigate the relationship between the rate of carbapenem-resistant Gram-negative bacteria and antibiotic consumption intensity in 153 tertiary hospitals from China in 2014.MethodsA retrospective study using national surveillance data from 2014 was conducted. Data on the annual consumption of each antibiotic, as well as the rate of carbapenem-resistant Gram-negative bacteria, were collected from each participating hospital, and the correlation between antibiotic consumption and carbapenem- resistant rate was analyzed.ResultsThe overall antibiotic consumption intensity among the hospitals varied between 23.93 and 86.80 defined daily dosages (DDDs) per 100 patient-days (median, 46.30 DDDs per 100 patient-days). Cephalosporins were the most commonly used antibiotic, followed by quinolones, penicillins, and carbapenems, and the rate of carbapenem-resistant Gram-negative bacteria from each hospital varied. The correlations between carbapenem consumption intensity and rate of carbapenem resistance revealed correlation factors of 0.271 for Escherichia coli (p < 0.01), 0.427 for Klebsiella pneumoniae (p < 0.01), 0.463 for Pseudomonas aeruginosa (p < 0.01), and 0.331 for Acinetobacter baumannii (p < 0.01).ConclusionsA significant relationship existed between the carbapenem consumption and the rates of carbapenem-resistant gram negative bacilli. Rational use of carbapenems should be implemented to address the issue of carbapenem resistance in hospitals.Electronic supplementary materialThe online version of this article (10.1186/s13756-018-0430-1) contains supplementary material, which is available to authorized users.

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“…Based on a simple time series model, Arepyeva et al [121] proposed a regressive sub-model to anticipate certain statements and predict the rate of resistance associated with antibiotic consumption. Ternent et al [122] and Dasbasi et al [123] hypothesized that hosts contribute to bacterial resistance, including the development of novel PPIs between host and bacteria, which might mediate bacterial clearance [122,123].…”

Section: Antimicrobial-pathogen Interactions: Overcoming Antimicrobiamentioning

confidence: 99%

Computational Health Engineering Applied to Model Infectious Diseases and Antimicrobial Resistance Spread

2019

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Infectious diseases are the primary cause of mortality worldwide. The dangers of infectious disease are compounded with antimicrobial resistance, which remains the greatest concern for human health. Although novel approaches are under investigation, the World Health Organization predicts that by 2050, septicaemia caused by antimicrobial resistant bacteria could result in 10 million deaths per year. One of the main challenges in medical microbiology is to develop novel experimental approaches, which enable a better understanding of bacterial infections and antimicrobial resistance. After the introduction of whole genome sequencing, there was a great improvement in bacterial detection and identification, which also enabled the characterization of virulence factors and antimicrobial resistance genes. Today, the use of in silico experiments jointly with computational and machine learning offer an in depth understanding of systems biology, allowing us to use this knowledge for the prevention, prediction, and control of infectious disease. Herein, the aim of this review is to discuss the latest advances in human health engineering and their applicability in the control of infectious diseases. An in-depth knowledge of host–pathogen–protein interactions, combined with a better understanding of a host’s immune response and bacterial fitness, are key determinants for halting infectious diseases and antimicrobial resistance dissemination.

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A mathematical model for predicting the development of bacterial resistance based on the relationship between the level of antimicrobial resistance and the volume of antibiotic consumption

Cited by 27 publications

References 4 publications

Public Knowledge and Attitudes Towards Antibiotics Use and Resistance in Baghdad, Iraq: A Survey Conducted in Outpatient Department of University Teaching Hospital

Public Knowledge and Attitudes Towards Antibiotics Use and Resistance in Baghdad, Iraq: A Survey Conducted in Outpatient Department of University Teaching Hospital

Association between antibiotic consumption and the rate of carbapenem-resistant Gram-negative bacteria from China based on 153 tertiary hospitals data in 2014

Computational Health Engineering Applied to Model Infectious Diseases and Antimicrobial Resistance Spread

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